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DBMS > BigObject vs. Databricks vs. EsgynDB vs. Hyprcubd vs. TDengine

System Properties Comparison BigObject vs. Databricks vs. EsgynDB vs. Hyprcubd vs. TDengine

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonTDengine  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionServerless Time Series DBMSTime Series DBMS and big data platform
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitebigobject.iowww.databricks.comwww.esgyn.cnhyprcubd.com (offline)github.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.bigobject.iodocs.databricks.comdocs.tdengine.com
DeveloperBigObject, Inc.DatabricksEsgynHyprcubd, Inc.TDEngine, previously Taos Data
Initial release2015201320152019
Current release3.0, August 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialcommercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaGoC
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinuxhostedLinux
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesnonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementswith Databricks SQLyesSQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
gRPC (https)JDBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresLuauser defined functions and aggregatesJava Stored Proceduresnono
Triggersnononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication between multi datacentersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlnofine grained access rights according to SQL-standardtoken accessyes
More information provided by the system vendor
BigObjectDatabricksEsgynDBHyprcubdTDengine
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
TDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
BigObjectDatabricksEsgynDBHyprcubdTDengine
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